SAEED E. AZAM, Ph.D. C RESEARCH INTERESTS & SCIENTOMETRICS x Smart Structural Health Monitoring for Sustainable and Resilient Infrastructure Management o Machine Learning for enhanced, infrastructure health monitoring: development of Neural Classifiers accounting for non-stationary excitations to enhance anomaly detection under operational conditions o Recursive Bayesian estimation: development of mathematical tools that improve input-state estimation and permit robust, real-time monitoring system health using sparse sensor networks o Computational modelling: development of fast, stable, linear and nonlinear computational models via order reduction, hyper-reduction and parallel processing o Full-scale experiments: design of optimal sensor networks and analysis of measured data from full- scale test beds to improve Machine Learning and Bayesian system identification techniques o Infrastructure Network Resiliency: Modelling interdependent critical infrastructure systems as network of connected agents using Agent-Based Simulations aimed to integrate data-centric decision making in infrastructure management x h-index: Google Scholar = 12. EDUCATIONAL HISTORY Polytechnic University of Milan Italy PhD in Structural, Seismic and Geotechnical Engineering Jan. 2009 – Mar. 2012 (3 years & 3 months) Thesis title: Dual estimation and reduced order modelling of damaging structures Evaluation: Con Merito (With Distinction) Academic Tutor: Prof. Giulio Maier; Academic Advisor: Prof. Stefano Mariani Sharif University of Technology Iran Master of Science in Structural Engineering Sep. 2005 – Jan. 2008 (2 years & 4 months) Thesis title: Dynamic response of Timoshenko beam under moving mass Academic Advisor: Prof. Massood Mofid University of Tehran Iran Bachelor of Science in Civil Engineering Sep. 2001 – Sep. 2005 (4 years) RESEARCH EXPERIENCE University of Nebraska-Lincoln Lincoln, NE Postdoctoral Research Associate (Apr. 2017 – present) x Output-source damage detection in steel, railway bridges using Machine Learning. x Sparse sensor network, output-source, fatigue damage estimation using Kalman filtering. x Designing and performing full-scale, field experiments. x Preparing research funding proposals for federal and state agencies. Polytechnic University of Milan Italy Postdoctoral Research Associate (Sep. 2015 – Mar. 2016) x Uncertainty Quantification for experiments performed on Polysilicon thin films using Markov Chain Monte Carlo and Krigging-based surrogate modelling. x Particle and Kalman filtering for real-time damage detection in large structural systems. ETH Zurich & University of Thessaly Switzerland–Greece Postdoctoral Research Associate (Feb. 2014 – Aug. 2015) x Development of novel computational algorithms for robust, online and real-time state-input of fatigue damage using acceleration data. x Designing and performing reduced-scale, structural prototype, shake-table tests. SAEED E. AZAM 2 | Page PUBLICATIONS Book 1. S. Eftekhar Azam (2014) “Online Damage Detection in Structural Systems,” Springer. DOI: 10.1007/978-3-319- 02559-9 Technical Report 1. M. Szerszen, D. Linzell, S. Eftekhar Azam, A. Alhajami, J. Steelman, R. Wood (2018) “Protocol to Evaluate and Load Rate Existing Bridges Using Field Testing,” Nebraska Department of Transportation. Peer Reviewed, Journal Papers 1. V.K. Dertimanis, E. Chatzi, S. Eftekhar Azam, C. Papadimitriou (2019), “Input–state–parameter estimation of structural systems from limited output information,” Mechanical Systems and Signal Processing, 126(1), 711-746. DOI: https://doi.org/10.1016/j.ymssp.2019.02.040 2. S. Eftekhar Azam, A. Rageh, D. Linzell (2018), “Damage detection in structural systems utilizing Artificial Neural Networks and Proper Orthogonal Decomposition,” Structural Control and Health Monitoring, e2288. DOI: https://doi.org/10.1002/stc.2288 3. A. Rageh, D., Linzell, S. Eftekhar Azam (2018), “Automated Output-Only Steel Railway Bridge Damage Detection Using Measured Strains,” Journal of Civil Structural Health Monitoring, 8(5), 833-846. DOI: https://doi.org/10.1007/s13349-018-0311-6 4. S. Mariani, A. Ghisi, R. Mirzazadeh, S. Eftekhar Azam (2018), “On-Chip Testing: A Miniaturized Lab to Assess Sub- Micron Uncertainties in Polysilicon MEMS,” Micro and Nanosystems. DOI: 10.2174/1876402911666181204122855 5. R. Mirzazadeh, S. Eftekhar Azam, S. Mariani (2018), “Synergy of POD-Krigging and TMCMC for Mechanical Characterization and Uncertainty Quantification of Polysilicon Thin Films,” Sensors, 18(4), 1243. DOI: https://doi.org/10.3390/s18041243 6. S. Eftekhar Azam, S. Mariani (2018), “Online damage detection in structural systems via dynamic inverse analysis: a recursive Bayesian approach,” Engineering Structure, 159, pp. 28-45. DOI: 10.1016/j.engstruct.2017.12.031 7. S. Eftekhar Azam, S. Mariani, N. Attari (2017), “Online damage detection via a synergy of proper orthogonal decomposition and recursive Bayesian filters,” Nonlinear Dynamics, 89(2), 1489-1511. DOI: 10.1007/s11071-017-3530- 1 8. S. Eftekhar Azam, E. Chatzi, C. Papadimitriou, A. Smyth, (2017), “Experimental validation of the Kalman-type filters for online and real-time state and input estimation,” Journal of Vibration and Control, 23, pp. 2494-2519. DOI: 10.1177/1077546315617672 Note: Included in Most Cited Articles in the last 3 years, as of 1/5/2019, in Journal of Vibration and Control (click here). 9. R. Mirzazadeh, S. Eftekhar Azam, S. Mariani (2016), “Micromechanical characterization of polysilicon films through on-chip tests,” Sensors, 16 (8), 1191. DOI: 10.3390/s16081191 10. G. Capellari, S. Eftekhar Azam, S. Mariani (2016), “Damage detection in flexible plates through reduced-order modeling and hybrid particle-Kalman filtering,” Sensors, 16, pp. 1-20. DOI: 10.3390/s16010002 11. R. Afghani Khoraskani, M. Mofid, S. Eftekhar Azam, M. Ebrahimzadeh (2016), “A new simplified formula in the prediction of the resonance velocity for multiple masses traversing a thin beam,” Scientia Iranica A: Transactions in Civil Engineering, 23, pp. 133-141. DOI: 10.24200/SCI.2016.2104 12. S. Eftekhar Azam, E. Chatzi, C. Papadimitriou (2015), “A dual Kalman filter approach for state estimation via output-only acceleration measurements,” Mechanical Systems and Signal Processing, 60 pp. 866-886, 2015. DOI: 10.1016/j.ymssp.2015.02.001 Note: included in Most Cited Articles (click here) of Mechanical Systems and Signal Processing, published since 2014. 13. A. Nikkhoo, M. Ebrahimzadeh, S. Eftekhar Azam, J. Vaseghi (2014), “Vibration of a thin rectangular plate subjected to series of moving inertial loads,” Mechanic Research Communications, 55, pp. 105-113. DOI: 10.1016/j.mechrescom.2013.10.009 Note: Article included in Most Cited Articles (click here) of Mechanic Research Communications, published since 2014. SAEED E. AZAM 3 | Page 14. S. Eftekhar Azam, S. Mariani (2013), “Investigation of computational and accuracy issues in POD-based reduced order modeling of dynamic structural systems,” Engineering Structures, 54, pp. 150-167. DOI: 10.1016/j.engstruct.2013.04.004 15. S. Eftekhar Azam, M. Mofid, R. Afghani Khorasgani (2013), “Dynamic response of Timoshenko beam subjected to moving mass,” Scientia Iranica A: Transactions in Civil Engineering, 20, pp. 50–56. DOI: 10.1016/j.scient.2012.11.003 16. S. Eftekhar Azam, S. Mariani (2012), “Dual estimation of partially observed nonlinear structural systems: a particle filter approach,” Mechanic Research Communications, 46, pp. 54-61. DOI: 10.1016/j.mechrescom.2012.08.006 17. S. Eftekhar Azam, A. Ghisi, S. Mariani (2012), “Parallelized sigma-point Kalman filtering for structural dynamics,” Computers and Structures (IF = 2.887), 92-93, pp. 193-205. DOI: 10.1016/j.compstruc.2011.11.004 18. S. Eftekhar Azam, M. Bagherinia, S. Mariani (2012), “Stochastic system identification via particle and sigma-point Kalman filtering,” Scientia Iranica A: Transactions in Civil Engineering, 19, pp. 982-991. DOI: 10.1016/j.scient.2012.06.007 Journal Papers - Submitted and In Preparation 19. V. Mohsenian, A. Nikkhoo, S. Eftekhar Azam (2018), “On the Fragility Analysis and Introduction of Bayes Estimators in Updating Process of Derived Results,” Probabilistic Engineering Mechanics, submitted. 20. S. Eftekhar Azam, D. Linzell, B. Moaveni, “Output-only particle filtering for nonlinear structural dynamics,” Engineering Structure, in preparation. 21. S. Eftekhar Azam, D. Linzell, A. Rageh, “Output-only strain prediction in steel railway bridges,” Mechanical Systems and Signal Processing, in preparation. 22. D. Giagopoulos, S. Eftekhar Azam, C. D. Papadioti, E. Chatzi, C. Papadimitriou, “Response reconstruction for fatigue prediction in linear structural components of a nonlinear structure,” Structural Control and Health Monitoring, in preparation. Refereed Conference Proceedings 1. G. Capellari, E. Chatzi, S. Mariani, S. Eftekhar Azam (2017), “Optimal design of sensor networks for damage detection”, Eurodyn X, September, Rome, Italy. 2. R. Mirzazadeh, S. Eftekhar Azam,E. Jensen,S.Mariani (2017), “Uncertainty quantification in polysilicon MEMS through on-chip testing and reduced-order modelling”, EuroSimE, April, Dresden, Germany. 3. D. Giagopoulos, A. Arailopoulos, S. Eftekhar Azam, C. Papadimitriou, E. Chatzi, K. Grompanopoulos (2016), “Dynamic Response Estimation and Fatigue Prediction in a Linear Substructure of a Complex Mechanical Assembly”, 8th European Workshop on Structural Health Monitoring, July, Bilbao, Spain. 4. V. Dertimanis, S. Eftekhar Azam, E. Chatzi, C. Papadimitriou (2016), “Output-only fatigue prediction